Hello world
`); window = dom.window; document = window.document; XMLHttpRequest = window.XMLHttpRequest; """ ct = execjs.compile(addition + reo, cwd=r'C:\Users\19308\AppData\Roaming\npm\node_modules') text = ct.eval(name.split("=")[1].replace(";", "")) # Extract and parse the JSON try: result = re.search('show\((.*?)\);;', text, re.I | re.M) if result is None: raise ValueError("No valid video download URL found in the extracted data.") result = result.group(0).replace("show(", "").replace(");;", "") j = json.loads(result) # Ensure the JSON contains the expected download URLs if "url" not in j or len(j["url"]) == 0: raise ValueError("No valid download links found in the extracted data.") # Assuming the first video URL is what we want (or try a different index if necessary) downurl = j["url"][0]["url"] return downurl except (IndexError, KeyError, json.JSONDecodeError) as e: raise ValueError(f"Error occurred while extracting the download URL: {e}") except Exception as e: raise ValueError(f"Error occurred while extracting the download URL: {e}") # Streamlit app layout st.title("Video and Audio to Text Transcription") st.write("Upload a video or audio file to convert it to transcription, or enter a YouTube URL to download the video.") # Create tabs to separate video, audio, and YouTube download options tab = st.selectbox("Select the type of file to upload or download", ["Video", "Audio", "YouTube"]) if tab == "Video": # File uploader for video uploaded_video = st.file_uploader("Upload Video", type=["mp4", "mov", "avi"]) if uploaded_video is not None: # Save the uploaded video file temporarily with tempfile.NamedTemporaryFile(delete=False) as tmp_video: tmp_video.write(uploaded_video.read()) tmp_video_path = tmp_video.name # Add an "Analyze Video" button if st.button("Analyze Video"): with st.spinner("Processing video... Please wait."): # Convert video to audio audio_file = video_to_audio(tmp_video_path) # Convert the extracted MP3 audio to WAV wav_audio_file = convert_mp3_to_wav(audio_file) # Transcribe audio to text transcription = transcribe_audio(wav_audio_file) # Show the transcription st.text_area("Transcription", transcription, height=300) # Store transcription and audio file in session state st.session_state.transcription = transcription # Store the audio file as a BytesIO object in memory with open(wav_audio_file, "rb") as f: audio_data = f.read() st.session_state.wav_audio_file = io.BytesIO(audio_data) # Cleanup temporary files os.remove(tmp_video_path) os.remove(audio_file) # Check if transcription and audio file are stored in session state if 'transcription' in st.session_state and 'wav_audio_file' in st.session_state: # Provide the audio file to the user for download st.audio(st.session_state.wav_audio_file, format='audio/wav') # Add download buttons for the transcription and audio # Downloadable transcription file st.download_button( label="Download Transcription", data=st.session_state.transcription, file_name="transcription.txt", mime="text/plain" ) # Downloadable audio file st.download_button( label="Download Audio", data=st.session_state.wav_audio_file, file_name="converted_audio.wav", mime="audio/wav" ) elif tab == "Audio": # File uploader for audio uploaded_audio = st.file_uploader("Upload Audio", type=["wav", "mp3"]) if uploaded_audio is not None: # Save the uploaded audio file temporarily with tempfile.NamedTemporaryFile(delete=False) as tmp_audio: tmp_audio.write(uploaded_audio.read()) tmp_audio_path = tmp_audio.name # Add an "Analyze Audio" button if st.button("Analyze Audio"): with st.spinner("Processing audio... Please wait."): # Convert audio to WAV if it's in MP3 format if uploaded_audio.type == "audio/mpeg": wav_audio_file = convert_mp3_to_wav(tmp_audio_path) else: wav_audio_file = tmp_audio_path # Transcribe audio to text transcription = transcribe_audio(wav_audio_file) # Show the transcription st.text_area("Transcription", transcription, height=300) # Store transcription in session state st.session_state.transcription_audio = transcription # Store the audio file as a BytesIO object in memory with open(wav_audio_file, "rb") as f: audio_data = f.read() st.session_state.wav_audio_file_audio = io.BytesIO(audio_data) # Cleanup temporary audio file os.remove(tmp_audio_path) # Check if transcription and audio file are stored in session state if 'transcription_audio' in st.session_state and 'wav_audio_file_audio' in st.session_state: # Provide the audio file to the user for download st.audio(st.session_state.wav_audio_file_audio, format='audio/wav') # Add download buttons for the transcription and audio # Downloadable transcription file st.download_button( label="Download Transcription", data=st.session_state.transcription_audio, file_name="transcription_audio.txt", mime="text/plain" ) # Downloadable audio file st.download_button( label="Download Audio", data=st.session_state.wav_audio_file_audio, file_name="converted_audio_audio.wav", mime="audio/wav" ) # Streamlit UI for YouTube video download elif tab == "YouTube": st.title("YouTube Video Downloader") st.write("""This app allows you to download YouTube videos in various formats. Simply enter the YouTube URL below and click "Get Download Link".""") youtube_url = st.text_input("Enter YouTube Video URL", "https://www.youtube.com/watch?v=YPvtz1lHRiw") if st.button("Get Download Link"): if youtube_url: try: download_url = extract_video_url(youtube_url) st.success("Download link generated successfully!") st.write("Click below to download the video:") st.markdown(f"[Download Video]({download_url})", unsafe_allow_html=True) except Exception as e: st.error(f"Error occurred: {e}") else: st.error("Please enter a valid YouTube URL.")